نتایج جستجو برای: task planning

تعداد نتایج: 481977  

2005
Neil Yorke-Smith

Quantitative temporal constraints are an essential requirement for many planning domains. The HTN planning paradigm has proven to be better suited than other approaches to many applications. To date, however, efficiently integrating temporal reasoning with HTN planning has been little explored. This paper describes a means to exploit the structure of a HTN plan in performing temporal propagatio...

2012
Rudolf Kadlec Michal Cermák Zdenek Behan Cyril Brom

Episodic memory modeling enjoys increasing interest in virtual agents, autonomous companions or computer games research communities. To evaluate memory models, it is often necessary to “fill” them with appropriate data streams of activities corresponding to what would happen to a real human during a particular time period. However, such activity corpora, freely available, are, to our best knowl...

2001
Nick Hawes

For an agent to act successfully in a complex and dynamic environment (such as a computer game) it must have a method of generating future behaviour that meets the demands of its environment. One such method is anytime planning. This paper discusses the problems and benefits associated with making a planning system work under the anytime paradigm, and introduces AnytimeUMCP (A-UMCP), an anytime...

Journal: :journal of optimization in industrial engineering 2010
moharam habib nezhad korayem mehdi bamdad ashkan akbareh

planning robot trajectory is a complex task that plays a significant role in design and application of robots in task space. the problem is formulated as a trajectory optimization problem which is fundamentally a constrained nonlinear optimization problem. open-loop optimal control method is proposed as an approach for trajectory optimization of cable parallel manipulator for a given two-end-po...

Journal: :International Journal of Advanced Robotic Systems 2008

Journal: :Robotics and Autonomous Systems 2021

Complex manipulation tasks require careful integration of symbolic reasoning and motion planning. This problem, commonly referred to as Task Motion Planning (TAMP), is even more challenging if the workspace non-static, e.g. due human interventions perceived with noisy non-ideal sensors. work proposes an online approximated TAMP method that combines a geometric module planner standard task in re...

Journal: :The International Journal of Robotics Research 2018

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